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Starting from scratch: Training a 30M Topological Transformer
Tauformer is a topological transformer (see paper ) that replaces dot‑product attention with a Laplacian-derived scalar (taumode) per token/head, then attends using distances in that scalar space. Below is a post-style overview of the idea and the first training signals from a 30M-parameter run.
- Points
- 144
- HN comments
- 58
- Submissions
- 1
- Cited by
- 0 commenters
AI & Machine LearningMath & Algorithms2026
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Jan 18, 2026 | Starting from scratch: Training a 30M Topological Transformer by tuned | 144 | 58 |